Advancement of a Sensor Aided Smart Grid Node Architecture

Duchon, Markus; Gupta, Pragya; Koss, Dagmar; Bytschkow, Denis; Schatz, Berhard; Wilzbach, Sebastian

doi:10.1109/cyberc.2014.67

Cited by 8 publications

(5 citation statements)

References 13 publications

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“…Figure 3 shows the architecture of a single MC. The architecture of MC is based on our previous work [14] for setting up an intelligent node in the office environment.…”

Section: Architecture Of the Microgrid Controller (Mc)mentioning

confidence: 99%

“…In this work, we address the design challenges for the DMS or Microgrid Controller (MC) [6] for distributed microgrids in rural and remote locations. Based on our prior experience of designing the architecture of an MC for single nodes or smart homes [14], this paper proposes a hierarchical architecture for a distributed microgrid. The proposed architecture is flexible, scalable, modular, capable of handling heterogeneous hardware infrastructure and supports numerous microgrid objectives such as grid balancing, fault management, etc.…”

Section: Introductionmentioning

confidence: 99%

“…ContainerManager models the real world entities/physical infrastructure by defining the unit's relationship in the existing physical setup. In the previous work [14], we described the smart office building structure (floor, rooms, devices), where a building is the root container, which has several floor child containers. Each floor has several rooms and rooms contain several devices as children.…”

mentioning

confidence: 99%

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Developing Self-Similar Hybrid Control Architecture Based on SGAM-Based Methodology for Distributed Microgrids

Gupta

Duchon

2018

Designs

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Cyber-Physical Systems (CPS) are the complex systems that control and coordinate physical infrastructures, which may be geographically apart, via the use of Information and Communication Technology (ICT). One such application of CPS is smart microgrids. Microgrids comprise both power consuming and power producing infrastructure and are capable of operating in grid connected and disconnected modes. Due to the presence of heterogeneous smart devices communicating over multiple communication protocols in a distributed environment, a system architecture is required. The objective of this paper is to approach the microgrid architecture from the software and systems’ design perspective. The architecture should be flexible to support various multiple communication protocols and is able to integrate various hardware technologies. It should also be modular and scalable to support various functionalities such as island mode operations, energy efficient operations, energy trading, predictive maintenance, etc. These requirements are the basis for designing the software architecture for the smart microgrids that should be able to manage not only electrical but all energy related systems. In this work, we propose a distributed, hybrid control architecture suited for microgrid environments, where entities are geographically distant and need to operate in a cohesive manner. The proposed system architecture supports various design philosophies such as component-based design, hierarchical composition of components, peer-to-peer design, distributed decision-making and controlling as well as plug-and-play during runtime. A unique capability of the proposed system architecture is the self-similarity of the components for the distributed microgrids. The benefit of the approach is that it supports these design philosophies at all the levels in the hierarchy in contrast to a typical centralized architectures where decisions are taken only at the global level. The proposed architecture is applied to a real system of 13 residential buildings in a low-voltage distribution network. The required implementation and deployment details for monitoring and controlling 13 residential buildings are also discussed in this work.

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“…Figure 3 shows the architecture of a single MC. The architecture of MC is based on our previous work [14] for setting up an intelligent node in the office environment.…”

Section: Architecture Of the Microgrid Controller (Mc)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Developing Self-Similar Hybrid Control Architecture Based on SGAM-Based Methodology for Distributed Microgrids

Gupta

Duchon

2018

Designs

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“…Alternatively, taking the current energy prices into account, the excess energy can be fed into the network to achieve an economic profit. In the following, we will summarize the general framework of the fortiss Smart Energy Living Lab [25] before explaining the components and algorithms used to predict the future energy generation/consumption and to schedule the smart building operations.…”

Section: The Smart Office Environmentmentioning

confidence: 99%

An Energy Management Service for the Smart Office

et al. 2015

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The evolution of the electricity grid towards the smart grid paradigm is fostering the integration of distributed renewable energy sources in smart buildings: a combination of local power generation, battery storage and controllable loads can greatly increase the energetic self-sufficiency of a smart building, enabling it to maximize the self-consumption of photovoltaic electricity and to participate in the energy market, thus taking advantage of time-variable tariffs to achieve economic savings. This paper proposes an energy management infrastructure specifically tailored for a smart office building, which relies on measured data and on forecasting algorithms to predict the future patterns of both local energy generation and power loads. The performance is compared to the optimal energy usage scheduling, which would be obtained assuming the exact knowledge of the future energy production and consumption trends, showing gaps below 10% with respect to the optimum.

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“…In the following we will summarize the general framework of the fortiss Smart Energy Living Lab [11] before explaining the components and algorithms used to predict the future energy generation/consumption and to schedule the Smart Building operations.…”

Section: The Smart Office Environmentmentioning

confidence: 99%

An energy management system for a smart office environment

Rottondi

Duchon

Koss

et al. 2015

2015 International Conference and Workshops on Networked Systems (NetSys)

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Abstract-The evolution of the electricity grid towards the smart grid paradigm is fostering the integration of distributed renewable energy sources in Smart Buildings: a combination of local power generation, battery storage and controllable loads can greatly increase the energetic self-sufficiency of a Smart Building, enabling it to operate in islanded mode or to participate in an Automatic Demand Response framework, thus taking advantage of time-variable tariffs to achieve economical savings.This paper proposes an energy management system specifically tailored for a Smart Office building, which relies on actual data and on forecasting algorithms to predict the future patterns of both local energy generation and power loads. Performance is compared to the optimal energy usage scheduling, which would be obtained assuming the exact knowledge of the future energy production and consumption trends, showing gaps below 10% w.r.t. the optimum.

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Advancement of a Sensor Aided Smart Grid Node Architecture

Cited by 8 publications

References 13 publications

Developing Self-Similar Hybrid Control Architecture Based on SGAM-Based Methodology for Distributed Microgrids

Developing Self-Similar Hybrid Control Architecture Based on SGAM-Based Methodology for Distributed Microgrids

An Energy Management Service for the Smart Office

An energy management system for a smart office environment

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